Search Results for author:
Found 9 papers, 5 papers with code
Factorized Fourier Neural Operators
We propose the Factorized Fourier Neural Operator (F-FNO), a learning-based approach for simulating partial differential equations (PDEs).
Transform and Tell: Entity-Aware News Image Captioning
We address the first challenge by associating words in the caption with faces and objects in the image, via a multi-modal, multi-head attention mechanism.
SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text
We develop a model that learns to generate visually relevant styled captions from a large corpus of styled text without aligned images.
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series
We introduce Radflow, a novel model that embodies three key ideas: a recurrent neural network to obtain node embeddings that depend on time, the aggregation of the flow of influence from neighboring nodes with multi-head attention, and the multi-layer decomposition of time series.
Comparative Document Summarisation via Classification
This paper considers extractive summarisation in a comparative setting: given two or more document groups (e. g., separated by publication time), the goal is to select a small number of documents that are representative of each group, and also maximally distinguishable from other groups.
Simplifying Sentences with Sequence to Sequence Models
We simplify sentences with an attentive neural network sequence to sequence model, dubbed S4.
SentiCap: Generating Image Descriptions with Sentiments
We design a system to describe an image with emotions, and present a model that automatically generates captions with positive or negative sentiments.
UNIPoint: Universally Approximating Point Processes Intensities
The proof connects the well known Stone-Weierstrass Theorem for function approximation, the uniform density of non-negative continuous functions using a transfer functions, the formulation of the parameters of a piece-wise continuous functions as a dynamic system, and a recurrent neural network implementation for capturing the dynamics.
AttentionFlow: Visualising Influence in Networks of Time Series
The collective attention on online items such as web pages, search terms, and videos reflects trends that are of social, cultural, and economic interest.
